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  1. FPGAImplemenationwithSIMULINKandSGr

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  2. Prerequisites Attended "MATLAB for Technical Computing" and "SIMULINK for Dynamic System Modeling", or equivalent experience using MATLAB & SIMULINK. Participants are expected to have some exposure to signal processing techniques prior to takin
  3. 所属分类:Communication

    • 发布日期:2017-04-02
    • 文件大小:10.81kb
    • 提供者:oudjani
  1. signal-parameter-estimation

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  2. 本文分析了多级维纳滤波器的特性,在加性噪声和二维天线阵列如均匀圆阵、均匀面阵、十字阵等条件和背景下,对信源个数和信源参数估计问题进行了研究,提出了基于多级维纳滤波器前向分解特性的快速参数估计方法,同时提出了基于多级维纳滤波器的二维ESPRIT参数估计方法,该类方法无需协方差矩阵的估计运算及分解运算,计算复杂度较低。另外,还提出了对信源个数的估计算法。-This paper analyzes the characteristics of multistage Wiener filter, in t
  3. 所属分类:Communication

    • 发布日期:2016-09-20
    • 文件大小:3.32mb
    • 提供者:于文娟
  1. SIMPLE-Presence

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  2. “presence”,也作“presence information”,中文一般译为“呈现”,用以传达某一用户通过一组设备进行通信的能力和意愿。拿常见的MSN Messenger来举例,MSN v7.5为用户提供的可选状态有:联机、忙碌、马上回来、离开、接听电话、外出就餐和显示为脱机。这些状态便称为“presence状态”,它们表征了用户当前处于的某种状态和用户进行通信的意愿。-You may use this document or any part of the document for i
  3. 所属分类:Communication

    • 发布日期:2017-11-08
    • 文件大小:301.17kb
    • 提供者:life
  1. Multi-h-CPM-spread-spectrum

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  2. Applying a direct random spreading sequence to a digital information sequence prior to multi-h modulation creates a new class of signals called spread-spectrum multi-h (SSMH) signaling.
  3. 所属分类:Communication

    • 发布日期:2017-05-06
    • 文件大小:1.09mb
    • 提供者:zs
  1. paper5

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  2. Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation
  3. 所属分类:Communication

    • 发布日期:2017-04-04
    • 文件大小:196.4kb
    • 提供者:li
  1. 58569

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  2. Copyright (c) 2007, Karen Su Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright
  3. 所属分类:通讯编程文档

    • 发布日期:2017-12-11
    • 文件大小:21.35kb
    • 提供者:Hasson
  1. Making a “Completely Blind” Image

    0下载:
  2. An important aim of research on the blind image quality assessment (IQA) problem is to devise perceptual models that can predict the quality of distorted images with as little prior knowledge of the images or their distortions as possible. Curren
  3. 所属分类:编程文档

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